From scripts to reliable tools / CORE PATH
Modules, typing & data classes
Turn a growing script into small importable parts.
Bring schema discipline from SQL into Python interfaces.
Understand the idea
Turn a growing script into small importable parts. Bring schema discipline from SQL into Python interfaces.
Work through the practice with a tiny fixture, predict the result before running it, and record one boundary case. Use the exit check as evidence before moving on.
What to learn
- Create modules with no work on import.
- Use type hints and a dataclass for a validated record.
- Keep configuration separate from transformations.
Practice on your own data
Split the ledger into parsing, validation and reporting modules.
Practice this lesson in the Python lab →
Importing a module performs no file writes or network calls.
Prerequisites
Video and playlist companions
Choose one explanation for the concept, then attempt the practice. These are topic mappings, not a claim that every linked lesson covers every outcome.
Python Full Course for Beginners (13 Hours) – From Zero to Hero
Loads YouTube on request. Open on YouTube ↗ if the owner restricts embedding.
Python Object Oriented Programming - شرح للبرمجة كائنية التوجه في بايثون
Loads YouTube on request. Open on YouTube ↗ if the owner restricts embedding.
Sources and further reading
- Python language tutorial ↗Official documentation
- Harvard CS50P · lectures & problem sets ↗User-selected HarvardX CS50P course
- Python Full Course for Beginners (13 Hours) – From Zero to Hero ↗User-selected YouTube resource
- Python Object Oriented Programming - شرح للبرمجة كائنية التوجه في بايثون ↗User-selected YouTube resource
Track progress on this topic → · Markdown source ↗